IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i4p1708-d1062233.html
   My bibliography  Save this article

DECO2—An Open-Source Energy System Decarbonisation Planning Software including Negative Emissions Technologies

Author

Listed:
  • Purusothmn Nair S. Bhasker Nair

    (Department Chemical and Environmental Engineering/Centre of Excellence for Green Technologies, University of Nottingham Malaysia, Broga Road, Semenyih 43500, Selangor, Malaysia)

  • Raymond R. Tan

    (Department of Chemical Engineering, De La Salle University, 2401 Taft Avenue, Manila 0922, Philippines)

  • Dominic C. Y. Foo

    (Department Chemical and Environmental Engineering/Centre of Excellence for Green Technologies, University of Nottingham Malaysia, Broga Road, Semenyih 43500, Selangor, Malaysia)

  • Disni Gamaralalage

    (Presidential Endowed Chair for “Platinum Society”, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan)

  • Michael Short

    (Department of Chemical and Process Engineering, University of Surrey, Guildford, Surrey GU2 7XH, UK)

Abstract

The deployment of CO 2 capture and storage (CCS) and negative emissions technologies (NETs) are crucial to meeting the net-zero emissions target by the year 2050, as emphasised by the Glasgow Climate Pact. Over the years, several energy planning models have been developed to address the temporal aspects of carbon management. However, limited works have incorporated CCS and NETs for bottom-up energy planning at the individual plant scale, which is considered in this work. The novel formulation is implemented in an open-source energy system software that has been developed in this work for optimal decarbonisation planning. The DECarbonation Options Optimisation ( DECO2 ) software considers multiperiod energy planning with a superstructural model and was developed in Python with an integrated user interface in Microsoft Excel. The software application is demonstrated with two scenarios that differ in terms of the availabilities of mitigation technologies. For the more conservative Scenario 1, in which CCS is only available in later years, and other NETs are assumed not to be available, all coal plants were replaced with biomass. Meanwhile, only 38% of natural gas plants are CCS retrofitted. The remaining natural gas plants are replaced with biogas. For the more aggressive Scenario 2, which includes all mitigation technologies, once again, all coal plants undergo fuel substitution. However, close to half of the natural gas plants are CCS retrofitted. The results demonstrated the potential of fuel substitutions for low-carbon alternatives in existing coal and natural gas power plants. Additionally, once NETs are mature and are available for commercial deployment, their deployment is crucial in aiding CO 2 removal in minimal investment costs scenarios. However, the results indicate that the deployment of energy-producing NETs (EP-NETs), e.g., biochar and biomass with CCS, are far more beneficial in CO 2 removal versus energy-consuming NETs (EC-NETs), e.g., enhanced weathering. The newly developed open-source software demonstrates the importance of determining the optimal deployment of mitigation technologies in meeting climate change targets for each period, as well as driving the achievement of net-zero emissions by mid-century.

Suggested Citation

  • Purusothmn Nair S. Bhasker Nair & Raymond R. Tan & Dominic C. Y. Foo & Disni Gamaralalage & Michael Short, 2023. "DECO2—An Open-Source Energy System Decarbonisation Planning Software including Negative Emissions Technologies," Energies, MDPI, vol. 16(4), pages 1-27, February.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:4:p:1708-:d:1062233
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/4/1708/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/16/4/1708/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jean-François Perrot & Alison Subiantoro, 2018. "Municipal Waste Management Strategy Review and Waste-to-Energy Potentials in New Zealand," Sustainability, MDPI, vol. 10(9), pages 1-12, August.
    2. Ooi, Raymond E.H. & Foo, Dominic C.Y. & Tan, Raymond R., 2014. "Targeting for carbon sequestration retrofit planning in the power generation sector for multi-period problems," Applied Energy, Elsevier, vol. 113(C), pages 477-487.
    3. Howells, Mark & Rogner, Holger & Strachan, Neil & Heaps, Charles & Huntington, Hillard & Kypreos, Socrates & Hughes, Alison & Silveira, Semida & DeCarolis, Joe & Bazillian, Morgan & Roehrl, Alexander, 2011. "OSeMOSYS: The Open Source Energy Modeling System: An introduction to its ethos, structure and development," Energy Policy, Elsevier, vol. 39(10), pages 5850-5870, October.
    4. Lee, Jui-Yuan & Tan, Raymond R. & Chen, Cheng-Liang, 2014. "A unified model for the deployment of carbon capture and storage," Applied Energy, Elsevier, vol. 121(C), pages 140-148.
    5. Prina, Matteo Giacomo & Manzolini, Giampaolo & Moser, David & Nastasi, Benedetto & Sparber, Wolfram, 2020. "Classification and challenges of bottom-up energy system models - A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 129(C).
    6. Gibbins, Jon & Chalmers, Hannah, 2008. "Carbon capture and storage," Energy Policy, Elsevier, vol. 36(12), pages 4317-4322, December.
    7. Sivabalan Kaniapan & Suhaimi Hassan & Hamdan Ya & Kartikeyan Patma Nesan & Mohammad Azeem, 2021. "The Utilisation of Palm Oil and Oil Palm Residues and the Related Challenges as a Sustainable Alternative in Biofuel, Bioenergy, and Transportation Sector: A Review," Sustainability, MDPI, vol. 13(6), pages 1-25, March.
    8. Hassan Ali & Han Phoumin & Steven R. Weller & Beni Suryadi, 2021. "Expediting Transition Towards HELE Coal-Fired Electricity Generation Technologies in Southeast Asia: A Comparative Economic Analysis of HELE and Subcritical Coal-Fired Technologies," Economics, Law, and Institutions in Asia Pacific, in: Han Phoumin & Farhad Taghizadeh-Hesary & Fukunari Kimura & Jun Arima (ed.), Energy Sustainability and Climate Change in ASEAN, chapter 0, pages 147-165, Springer.
    9. Tan, Raymond R. & Foo, Dominic C.Y., 2007. "Pinch analysis approach to carbon-constrained energy sector planning," Energy, Elsevier, vol. 32(8), pages 1422-1429.
    10. Ramos-Suárez, J.L. & Ritter, A. & Mata González, J. & Camacho Pérez, A., 2019. "Biogas from animal manure: A sustainable energy opportunity in the Canary Islands," Renewable and Sustainable Energy Reviews, Elsevier, vol. 104(C), pages 137-150.
    11. Aviso, K.B. & Sy, C.L. & Tan, R.R. & Ubando, A.T., 2020. "Fuzzy optimization of carbon management networks based on direct and indirect biomass co-firing," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Walmsley, Michael R.W. & Walmsley, Timothy G. & Atkins, Martin J., 2015. "Achieving 33% renewable electricity generation by 2020 in California," Energy, Elsevier, vol. 92(P3), pages 260-269.
    2. Lee, Jui-Yuan, 2017. "A multi-period optimisation model for planning carbon sequestration retrofits in the electricity sector," Applied Energy, Elsevier, vol. 198(C), pages 12-20.
    3. Chong, Fah Keen & Lawrence‎, Kelvin Kuhanraj & Lim, Pek Peng & Poon, Marcus Chinn Yoong & Foo, Dominic Chwan Yee & Lam, Hon Loong & Tan, Raymond R., 2014. "Planning of carbon capture storage deployment using process graph approach," Energy, Elsevier, vol. 76(C), pages 641-651.
    4. Walmsley, Michael R.W. & Walmsley, Timothy G. & Atkins, Martin J. & Kamp, Peter J.J. & Neale, James R. & Chand, Alvin, 2015. "Carbon Emissions Pinch Analysis for emissions reductions in the New Zealand transport sector through to 2050," Energy, Elsevier, vol. 92(P3), pages 569-576.
    5. Tapia, John Frederick D. & Lee, Jui-Yuan & Ooi, Raymond E.H. & Foo, Dominic C.Y. & Tan, Raymond R., 2016. "Optimal CO2 allocation and scheduling in enhanced oil recovery (EOR) operations," Applied Energy, Elsevier, vol. 184(C), pages 337-345.
    6. Walmsley, Michael R.W. & Walmsley, Timothy G. & Atkins, Martin J. & Kamp, Peter J.J. & Neale, James R., 2014. "Minimising carbon emissions and energy expended for electricity generation in New Zealand through to 2050," Applied Energy, Elsevier, vol. 135(C), pages 656-665.
    7. Zhang, Shuai & Liu, Linlin & Zhang, Lei & Zhuang, Yu & Du, Jian, 2018. "An optimization model for carbon capture utilization and storage supply chain: A case study in Northeastern China," Applied Energy, Elsevier, vol. 231(C), pages 194-206.
    8. Chang, Miguel & Lund, Henrik & Thellufsen, Jakob Zinck & Østergaard, Poul Alberg, 2023. "Perspectives on purpose-driven coupling of energy system models," Energy, Elsevier, vol. 265(C).
    9. Seljom, Pernille & Kvalbein, Lisa & Hellemo, Lars & Kaut, Michal & Ortiz, Miguel Muñoz, 2021. "Stochastic modelling of variable renewables in long-term energy models: Dataset, scenario generation & quality of results," Energy, Elsevier, vol. 236(C).
    10. Jia, Xiaoping & Xu, Tianshu & Zhang, Yanmei & Li, Zhiwei & Tan, Raymond R. & Aviso, Kathleen B. & Wang, Fang, 2023. "An improved multi-period algebraic targeting approach to low carbon energy planning," Energy, Elsevier, vol. 268(C).
    11. Löffler, Konstantin & Burandt, Thorsten & Hainsch, Karlo & Oei, Pao-Yu & Seehaus, Frederik & Wejda, Felix, 2022. "Chances and barriers for Germany's low carbon transition - Quantifying uncertainties in key influential factors," Energy, Elsevier, vol. 239(PA).
    12. Peter Viebahn & Emile J. L. Chappin, 2018. "Scrutinising the Gap between the Expected and Actual Deployment of Carbon Capture and Storage—A Bibliometric Analysis," Energies, MDPI, vol. 11(9), pages 1-45, September.
    13. Xavier Rixhon & Gauthier Limpens & Diederik Coppitters & Hervé Jeanmart & Francesco Contino, 2021. "The Role of Electrofuels under Uncertainties for the Belgian Energy Transition," Energies, MDPI, vol. 14(13), pages 1-23, July.
    14. Mohd Yahya, Nur Syahira & Ng, Lik Yin & Andiappan, Viknesh, 2021. "Optimisation and planning of biomass supply chain for new and existing power plants based on carbon reduction targets," Energy, Elsevier, vol. 237(C).
    15. Sreedhar, I. & Vaidhiswaran, R. & Kamani, Bansi. M. & Venugopal, A., 2017. "Process and engineering trends in membrane based carbon capture," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 659-684.
    16. Østergaard, P.A. & Lund, H. & Thellufsen, J.Z. & Sorknæs, P. & Mathiesen, B.V., 2022. "Review and validation of EnergyPLAN," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    17. Kong, Karen Gah Hie & How, Bing Shen & Lim, Juin Yau & Leong, Wei Dong & Teng, Sin Yong & Ng, Wendy Pei Qin & Moser, Irene & Sunarso, Jaka, 2022. "Shaving electric bills with renewables? A multi-period pinch-based methodology for energy planning," Energy, Elsevier, vol. 239(PD).
    18. Plazas-Niño, F.A. & Ortiz-Pimiento, N.R. & Montes-Páez, E.G., 2022. "National energy system optimization modelling for decarbonization pathways analysis: A systematic literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    19. Chang, Miguel & Thellufsen, Jakob Zink & Zakeri, Behnam & Pickering, Bryn & Pfenninger, Stefan & Lund, Henrik & Østergaard, Poul Alberg, 2021. "Trends in tools and approaches for modelling the energy transition," Applied Energy, Elsevier, vol. 290(C).
    20. Danial Esmaeili Aliabadi & David Manske & Lena Seeger & Reinhold Lehneis & Daniela Thrän, 2023. "Integrating Knowledge Acquisition, Visualization, and Dissemination in Energy System Models: BENOPTex Study," Energies, MDPI, vol. 16(13), pages 1-14, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:16:y:2023:i:4:p:1708-:d:1062233. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.